AI Analysis and Content Strategy fixes. Enhanced Strategy Routes refactoring.
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@@ -14,7 +14,7 @@ from collections import defaultdict, deque
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import asyncio
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from loguru import logger
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from sqlalchemy.orm import Session
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from sqlalchemy import and_, func
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from sqlalchemy import and_, func, case
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import re
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from models.api_monitoring import APIRequest, APIEndpointStats, SystemHealth, CachePerformance
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@@ -369,19 +369,64 @@ async def get_monitoring_stats(minutes: int = 5) -> Dict[str, Any]:
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db.close()
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async def get_lightweight_stats() -> Dict[str, Any]:
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"""Get lightweight stats for dashboard header."""
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"""Get lightweight stats for dashboard header.
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Optimized single-query approach using conditional aggregation for better performance.
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"""
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db = None
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try:
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db = _get_db_session()
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# Minimal viable placeholder values
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now = datetime.utcnow()
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# Get stats from last 5 minutes
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five_minutes_ago = now - timedelta(minutes=5)
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# Optimized: Single query with conditional aggregation instead of two separate queries
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# This is much faster as it only scans the table once
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stats = db.query(
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func.count(APIRequest.id).label('total_requests'),
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func.sum(
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case((APIRequest.status_code >= 400, 1), else_=0)
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).label('total_errors')
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).filter(
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APIRequest.timestamp >= five_minutes_ago
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).first()
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recent_requests = stats.total_requests or 0 if stats else 0
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recent_errors = int(stats.total_errors or 0) if stats else 0
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# Calculate error rate
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error_rate = (recent_errors / recent_requests * 100) if recent_requests > 0 else 0.0
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# Determine status based on error rate
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if error_rate > 10:
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status = 'critical'
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icon = '🔴'
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elif error_rate > 5:
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status = 'warning'
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icon = '🟡'
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else:
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status = 'healthy'
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icon = '🟢'
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return {
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'status': status,
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'icon': icon,
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'recent_requests': recent_requests,
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'recent_errors': recent_errors,
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'error_rate': round(error_rate, 2),
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'timestamp': now.isoformat()
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}
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except Exception as e:
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logger.error(f"Error getting lightweight stats: {e}", exc_info=True)
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# Return default healthy state on error
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return {
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'status': 'healthy',
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'icon': '🟢',
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'recent_requests': 0,
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'recent_errors': 0,
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'error_rate': 0.0,
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'timestamp': now.isoformat()
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'timestamp': datetime.utcnow().isoformat()
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}
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finally:
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if db is not None:
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